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COVID-19 Puts Spotlight on Open-Source RISC-V Cores, IP

COVID-19 Puts Spotlight on Open-Source RISC-V Cores, IP

Remote work during this pandemic has shed light anew on the virtues of RISC-V, which has just gotten more accessible.


Developing New Hardware That Meets the Energy Demands of AI Applications

Developing New Hardware That Meets the Energy Demands of AI Applications

Artificial intelligence is becoming more commonplace in electronic devices, but many of its applications require lots of energy.


News May 14, 2020 by Luke James
Is Machine Learning for Tumor Research at Odds With Patient Privacy? Not With Federated Learning, Intel Says

Is Machine Learning for Tumor Research at Odds With Patient Privacy? Not With Federated Learning, Intel Says

Intel Labs and Penn Medicine may have overcome the conundrum of respecting HIPAA laws while inputting valuable patient data in machine learning models for cancer research.


News May 13, 2020 by Tyler Charboneau
With an Eye on Computing SoCs, Synopsys Combines IP Portfolio With TSMC’s 5nm Processes

With an Eye on Computing SoCs, Synopsys Combines IP Portfolio With TSMC’s 5nm Processes

Will the collaboration lower integration risks for designers?


News May 13, 2020 by Gary Elinoff
Research Study Calls Data Security the Greatest Challenge for AIoT

Research Study Calls Data Security the Greatest Challenge for AIoT

According to XMOS, data security is the largest barrier to the growth of the Artificial Intelligence of Things (AIoT) market.


News May 09, 2020 by Luke James
MATLAB and Simulink Get a Major Deep Learning Facelift

MATLAB and Simulink Get a Major Deep Learning Facelift

MathWorks has revamped MATLAB and Simulink with a host of deep learning development tools—and they say these updates will be a major boon for automotive and wireless designers.


News May 09, 2020 by Robin Mitchell
‘Superfast’ New Ceramic Manufacturing Method Could Lead to AI-Driven Materials Design

‘Superfast’ New Ceramic Manufacturing Method Could Lead to AI-Driven Materials Design

Scientists at the University of Maryland are said to have reinvented a 26,000-year-old manufacturing process into an innovative approach to fabricating ceramic materials for applications that include AI-driven materials design.


News May 07, 2020 by Luke James
Printed Circuit Boards Receive an AI Boost Through Fraunhofer’s Modular Platform

Printed Circuit Boards Receive an AI Boost Through Fraunhofer’s Modular Platform

The AI platform from the Fraunhofer Institute for Applied Information Technology (FIT) is comprised of modules for artificial intelligence, machine learning, and deep learning.


News May 06, 2020 by Luke James
Living on the Edge: A Look at Leading Chipmakers and Their Push for Intelligence

Living on the Edge: A Look at Leading Chipmakers and Their Push for Intelligence

Three dominant megacorporations are empowering edge devices by creating accurate, secure, and low powered chips with capabilities of giant data centers at your fingertips.


Arm Now Offers Silicon Startups Free Access to Its Extensive IP Portfolio

Arm Now Offers Silicon Startups Free Access to Its Extensive IP Portfolio

For select silicon startups, Arm has swung open the doors on its IP portfolio.


A New Spiking Neural Network-Based Chip Shows Promise for Preventing Drone Collisions

A New Spiking Neural Network-Based Chip Shows Promise for Preventing Drone Collisions

Described as the first of its kind, Imec's new SNN-based chip is designed for anti-collision radar systems for drones.


News May 01, 2020 by Gary Elinoff
ADLINK Technology AI Frame Grabber | New Product Brief

ADLINK Technology AI Frame Grabber | New Product Brief

This New Product Brief (NPB) is part of a video series highlighting the features, applications, and technical specs of newly-released products.


With an Eye on Intelligent Next-Gen Data Centers, NVIDIA Acquires Mellanox for $7 Billion

With an Eye on Intelligent Next-Gen Data Centers, NVIDIA Acquires Mellanox for $7 Billion

The powerful combination augments NVIDIA's computing expertise with Mellanox’s networking know-how.


News Apr 28, 2020 by Gary Elinoff
Brain-Inspired Electronics Offer Energy and Cost Benefits to AI and IoT Applications

Brain-Inspired Electronics Offer Energy and Cost Benefits to AI and IoT Applications

Organic memory devices developed by American researchers reportedly show promise for flexible, wearable, and personalized computing devices and other electronics.


News Apr 27, 2020 by Luke James
Improving Big Data Processing with Magnetic Circuits

Improving Big Data Processing with Magnetic Circuits

Researchers at the University of Texas’ Cockrell School of Engineering claim to have found a way to make the next generation of smart devices and computers, which will rely on big data processing, more efficient.


News Apr 26, 2020 by Luke James
Using AI to Speed Up the Development of Flexible Transparent Films Essential for Mobile Devices

Using AI to Speed Up the Development of Flexible Transparent Films Essential for Mobile Devices

Four institutions have worked together to use artificial intelligence (AI) to accelerate the development of flexible transparent films, it has been reported.


News Apr 23, 2020 by Luke James
Ferroelectric and Antiferromagnetic Memory: A Solution to AI Data Storage Challenges

Ferroelectric and Antiferromagnetic Memory: A Solution to AI Data Storage Challenges

Effectively storing data remains a key issue in modern information systems and a challenge for electronics engineers who need to design devices with the thought of robust data storage as a primary concern.


News Apr 15, 2020 by Biljana Ognenova
Could AI Accurately Predict Battery Health for EVs and Consumer Electronics?

Could AI Accurately Predict Battery Health for EVs and Consumer Electronics?

British researchers seem to think so—they claim that artificial intelligence (AI) and machine learning could be used to predict the health of a battery with 10 times higher accuracy than current techniques.


News Apr 15, 2020 by Luke James
How to Build a Variational Autoencoder with TensorFlow

How to Build a Variational Autoencoder with TensorFlow

Learn the key parts of an autoencoder, how a variational autoencoder improves on it, and how to build and train a variational autoencoder using TensorFlow.


Google Proposes AI as Solution for Speedier AI Chip Design

Google Proposes AI as Solution for Speedier AI Chip Design

One of the trickiest aspects of chip design is figuring out how to pack more circuitry into a smaller footprint while maintaining power, speed, and energy efficiency.


News Apr 06, 2020 by Luke James